About control of a neuron as an elementary unit of multilayer artificial neural networks with variable signal conductivity

Autor:	A. M. Olshansky, A. V. Ignatenkov, I. A. Dovgerd, M. G. Lysikov, E. N. Rozenberg, G. A. Dovgerd
Rok vydání:	2020
Předmět:	medicine.anatomical_structure Artificial neural network Computer science medicine General Medicine Neuron Conductivity Biological system Unit (ring theory) Signal Variable (mathematics)
Zdroj:	IOP Conference Series: Materials Science and Engineering. 760:012017
ISSN:	1757-899X 1757-8981
DOI:	10.1088/1757-899x/760/1/012017
Popis:	The report is devoted to a possibility of a control of each Hopfield’s neuron as an elementary unit of the neural network with variable signal conductivity used for transport scheduling tasks. It is set that direct control of the neuron is impossible in terms of initial data available for initializing the neural network. Also the result of some control algorithms based on statistical computations and signals dynamic is described below.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::dbdf1c4bdb4ff23ede70c660e529b3f1 https://doi.org/10.1088/1757-899x/760/1/012017 Zobrazit plný text záznamu